Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)
| Date | Stars |
|---|---|
| 2026-07-24 | 2219 |
| 2026-07-25 | 2219 |
| 2026-07-28 | 2219 |
| 2026-07-30 | 2219 |
| 2026-07-31 | 2221 |
| 2026-08-06 | 2221 |
Today
— stars today
This week
+2 stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.09%/day
# KG-LLM-Papers [](https://github.com/zjukg/KG-LLM-Papers) [](https://github.com/zjukg/KG-LLM-Papers/blob/main/LICENSE)   >What can LLMs do for KGs? Or, in other words, what role can KG play in the era of LLMs? 🙌 This repository collects papers integrating **knowledge graphs (KGs)** and **large language models (LLMs)**. 😎 Welcome to recommend missing papers through **`Pull Requests`**. <!-- Details of summary and classification of papers are shown in [wiki](https://github.com/zjukg/KG-LLM-Papers/wiki). --> <details> <summary>👈 🔔 News </summary> - **`2025-02` We preprint our Paper [OntoTune: Ontology-Driven Self-training for Aligning Large Language Models](https://arxiv.org/abs/2502.05478) (WWW 2025) [[`Repo`](https://github.com/zjukg/OntoTune)].** - **`2025-02` We preprint our Paper [K-ON: Stacking Knowledge On the Head Layer of Large Language Model](https://arxiv.org/abs/2502.06257) (AAAI 2025 Oral) [[`Repo`](https://github.com/zjukg/K-ON)].** - **`2025-01` We preprint our Paper [Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking](https://arxiv.org/abs/2501.00244) [[`Repo`](https://github.com/zjukg/SUBARU)].** - **`2024-12` We preprint our Paper [TrustUQA: A Trustful Framework for Unified Structured Data Question Answering](https://arxiv.org/abs/2406.18916) (AAAI 2025) [[`Repo`](https://github.com/zjukg/TrustUQA)].** - **`2024-09` Our paper [MKGL: Mastery of a Three-Word Language](https://openreview.net/forum?id=eqMNwXvOqn) has been accepted by NeurIPS 2024 as a spotlight paper. [[`Repo`](https://github.com/zjukg/MKGL)]** - **`2024-07` Our paper [Making Large Language Models Perform Better in Knowledge Graph Completion](https://arxiv.org/abs/2310.06671) has been accepted by ACM MM 2024 as an oral paper. [[`Repo`](https://github.com/zjukg/KoPA)]** - **`2024-05` Our paper [Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering](https://arxiv.org/abs/2311.06503) has been accepted by ACL 2024. [[`Repo`](https://github.com/zjukg/KnowPAT)]** - **`2024-02` We preprint our Survey [Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey](http://arxiv.org/abs/2402.05391) [[`Repo`](https://github.com/zjukg/KG-MM-Survey)].** - **`2023-06` We create this repository to maintain a paper list on `Intergrating Knowledge Graphs and Large Language Models`.** </details> <!-- *Todo:* 1. - [ ] `Fine-grained classification of papers` 2. - [ ] `Update paper project / code` 3. - [ ] `Wiki page for brief paper introduction` --> ## Content - [📜 Papers](#papers) - [🔖 Surveys](#surveys) - [⚙ Methods](#methods) - [🧰 Resources](#resources-and-benchmarking) --- ## Papers ### Surveys - \[[JoWS](https://www.sciencedirect.com/science/article/pii/S1570826824000301)\] Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective `2024.12` - \[[arxiv](https://arxiv.org/abs/2402.05391)\] Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey. `2024.02` - \[[arxiv](https://arxiv.org/abs/2311.07914)\] Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey. `2023.11` - \[[arxiv](https://arxiv.org/abs/2310.07521)\] Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity. `2023.10` - \[[arxiv](https://arxiv.org/abs/2310.04835)\] On the Evolution of Knowledge Graphs: A Survey and Perspective. `2023.10` - \[[arxiv](https://arxiv.org/pdf/2309.17122)\] Benchmarking the Abilities of Large Language Models for RDF Knowledge Graph Creation and Comprehension: How Well Do LLMs Speak Turtle? `2023.09` - \[[arxiv](https://arxiv.org/abs/2309.01029)\] Explainability for Large Language Models: A Survey. `2023.09` - \[[arxiv](https://arxiv.org/abs/2308.14217)\]
Excerpt of 47,268 characters
Read on GitHub
Zhuo Chen · Zhejiang University · China
103
17
7
7
4
4
3
2
2
Marco Bronzini
2
2
2
2
2
Patrick Jiang · UIUC
2
2
1
1
1
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:47ed2c55ca36b436, topic:large-language-models, topic:llm, topic:gpt
matched fp:47ed2c55ca36b436, topic:awesome, desc:paper list, readme:paper list